Decomposable Modeling in Natural Language Processing

No abstract is available for this paper.

• Publication year

  1999

• Venue

  International Conference on Computational Logic

• Publication date

  1999-06-01

• Fields of study

  Linguistics, Computer Science

• Identifiers

  No identifiers available.

• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Classification and Regression Trees

  2000cited by this paper
• SENSEVAL: an exercise in evaluating world sense disambiguation programs

  1998cited by this paper
• A Linear Observed Time Statistical Parser Based on Maximum Entropy Models

  1997cited by this paper
• Sequential Model Selection for Word Sense Disambiguation

  1997cited by this paper
• Probabilistic Event Categorization

  1997cited by this paper
• A Statistical Decision Making Method: A Case Study on Prepositional Phrase Attachment

  1997cited by this paper
• A New Supervised Learning Algorithm for Word Sense Disambiguation

  1997cited by this paper
• Context-Specific Independence in Bayesian Networks

  1996cited by this paper
• A Maximum Entropy Approach to Natural Language Processing

  1996influential reference
• Comparative Experiments on Disambiguating Word Senses: An Illustration of the Role of Bias in Machine Learning

  1996cited by this paper
• The Measure of a Model

  1996cited by this paper
• Contextual dependency and lexical sets

  1996cited by this paper
• Empirical Methods for Artificial Intelligence

  1995cited by this paper
• Software for Data Analysis with Graphical Models

  1994cited by this paper
• Word-Sense Disambiguation Using Decomposable Models

  1994cited by this paper
• Corpus-Based Statistical Sense Resolution

  1993cited by this paper
• An Analysis of Bayesian Classifiers

  1992cited by this paper
• Probabilistic reasoning in intelligent systems: Networks of plausible inference

  1991cited by this paper
• Local computations with probabilities on graphical structures and their application to expert systems

  1990cited by this paper
• [A new look].

  1989cited by this paper
• Goodness-Of-Fit Statistics for Discrete Multivariate Data

  1988cited by this paper
• Markov Fields and Log-Linear Interaction Models for Contingency Tables

  1980cited by this paper
• Estimating the Dimension of a Model

  1978influential reference
• Discrete Multivariate Analysis: Theory and Practice

  1976cited by this paper
• A new look at the statistical model identification

  1974influential reference
• An Introduction to the Theory of Statistics

  1951cited by this paper
• Ieee Transactions on Knowledge and Data Engineering, to Appear Final Draft 1 a Guide to the Literature on Learning Probabilistic Networks from Data

  year unknowncited by this paper

• Semantic Tagging for the Urdu Language: Annotated Corpus and Multi-Target Classification Methods

  2023cites this paper
• A survey on semantic processing techniques

  2023cites this paper
• The impact of word sense disambiguation on stock price prediction

  2021cites this paper
• International Journal of Innovative Technology and Exploring Engineering (IJITEE)

  2019cites this paper
• Context based Analysis of Lexical Semantics for Hindi Language

  2019cites this paper
• An Urdu semantic tagger - lexicons, corpora, methods and tools

  2019cites this paper
• An Analysis of Prepositional-Phrase Attachment Disambiguation

  2018cites this paper
• Performance analysis of recent Word Sense Disambiguation techniques

  2015cites this paper
• Leveraging a Semantically Annotated Corpus to Disambiguate Prepositional Phrase Attachment

  2015cites this paper
• An Insight into Word Sense Disambiguation Techniques

  2015cites this paper
• Trends in word sense disambiguation

  2014cites this paper
• Decision List Algorithm for Word Sense Disambiguation for TELUGU Natural Language Processing

  2013cites this paper
• Reference advice for word sense disambiguation

  2013influential citation
• Ontology-Based Word Sense Disambiguation for Scientific Literature

  2013cites this paper
• PROVIDING MORE ACCURATE RESULTS IN WEB SEARCH

  2012cites this paper
• A Scalable Distributed Syntactic, Semantic, and Lexical Language Model

  2012cites this paper
• The impact of collocational features in Turkish Word Sense Disambiguation

  2012cites this paper
• Sense Disambiguation Technique for Information Retrieval in Web Search

  2012cites this paper
• Word-sense disambiguation in biomedical ontologies

  2010cites this paper
• Word sense disambiguation methods

  2010cites this paper
• Additional Key Words and Phrases: Word sense disambiguation, word sense discrimination, WSD, lexical semantics, lexical ambiguity, sense annotation, semantic annotation

  2009cites this paper
• Word sense disambiguation: A survey

  2009cites this paper
• Exploiting Semantic Role Resources for Preposition Disambiguation

  2009cites this paper
• An empirical analysis of lexical polarity and contextual valence shifters for opinion classification

  2008cites this paper
• Effective Features for Disambiguation of Turkish Verbs

  2007cites this paper
• Machine Learning Techniques for Word Sense Disambiguation

  2006cites this paper
• Learning to Find Context Based Spelling Errors

  2006cites this paper
• Empirical acquisition of conceptual distinctions via dictionary definitions

  2005influential citation
• Acquiring a Disambiguation Model For Discourse Connectives

  2005cites this paper
• Survey of Word Sense Disambiguation Approaches

  2005cites this paper
• DETERMINING EFFECTIVE FEATURES FOR WORD SENSE DISAMBIGUATION IN TURKISH

  2005influential citation
• Inferring parts of speech for lexical mappings via the Cyc KB

  2004cites this paper
• Margin maximization with feed-forward neural networks: a comparative study with SVM and AdaBoost

  2004cites this paper
• Preposition Semantic Classification via Treebank and FrameNet

  2003cites this paper
• Preposition Semantic Classification via TREEBANK and FRAMENET

  2003influential citation
• Context-Based Word Prediction and Classification

  2003cites this paper
• Word sense disambiguation with pattern learning and automatic feature selection

  2002cites this paper
• Instance Based Learning with Automatic Feature Selection Applied to Word Sense Disambiguation

  2002cites this paper
• Classifying Preposition Semantic Roles using Class-based Lexical Associations

  2002cites this paper
• A Bayesian Approach to Semi-Supervised Learning

  2001cites this paper
• Towards Entity Status

  2001cites this paper
• On the Portability and Tuning of SupervisedWord Sense Disambiguation

  2000cites this paper
• Learning to Find Inadvertent Semantic Errors

  2000cites this paper
• A Theoretical Analysis of Context-based Learning Algorithms or Word Sense Disambiguation

  2000influential citation
• Introduction to the Special Issue on SENSEVAL

  2000cites this paper
• Machine Learning and Natural Language Processing

  2000cites this paper
• Acquisition and modeling of lexical knowledge: a corpus-based investigation of systematic polysemy

  2000cites this paper
• An Empirical Study of the Domain Dependence of Supervised Word Disambiguation Systems

  2000cites this paper
• Dependency of context-based Word Sense Disambiguation from representation and domain complexity

  2000influential citation
• A Comparison between Supervised Learning Algorithms for Word Sense Disambiguation

  2000cites this paper
• An Empirical Study of the Domain Dependence of Supervised Word Sense Disambiguation Systems

  2000cites this paper
• Selecting Decomposable Models for Word-Sense Disambiguation: TheGrling-Sdm System

  2000cites this paper
• Development and Use of a Gold-Standard Data Set for Subjectivity Classifications

  1999cites this paper